'Indexes are models: a B-Tree-Index can be seen as a model to map a key to the position of a record within a sorted array, a Hash-Index as a model to map a key to a position of a record within an unsorted array, and a BitMap-Index as a model to indicate if a data record exists or not. In this exploratory research paper, we start from this premise and posit that all existing index structures can be replaced with other types of models, including deep-learning models, which we term learned indexes. The key idea is that a model can learn the sort order or structure of lookup keys and use this signal to effectively predict the position or existence of records. We theoretically analyze under which conditions learned indexes outperform traditional index structures and describe the main challenges in designing learned index structures. Our initial results show, that by using neural nets we are able to outperform cache-optimized B-Trees by up to 70% in speed while saving an order-of-magnitude in memory over several real-world data sets. More importantly though, we believe that the idea of replacing core components of a data management system through learned models has far reaching implications for future systems designs and that this work just provides a glimpse of what might be possible.'

'The fact that the learned representation is more compact is very neat. But also it's not really a surprise that, given the entire dataset, we can construct a more compact function than a B-tree which is *designed* to support efficient updates.' [...] 'given that the model performs best when trained on the whole data set - I strongly doubt B-trees are the best we can do with the current state-of-the art.'

Physical motion—pushing a button, laundry soap flowing out of a bottle, turning a knob, removing a hammer from a weighted tool bench—triggers gears and springs elsewhere in the 3-D printed object that cause a conductive switch to intermittently connect or disconnect with the antenna and change its reflective state. Information—in the form of 1s and 0s—is encoded by the presence or absence of the tooth on a gear. Energy from a coiled spring drives the gear system, and the width and pattern of gear teeth control how long the backscatter switch makes contact with the antenna, creating patterns of reflected signals that can be decoded by a WiFi receiver.

How do you delete (or redact) data from Kafka? The simplest way to remove messages from Kafka is to simply let them expire. By default Kafka will keep data for two weeks and you can tune this as required. There is also an Admin API that lets you delete messages explicitly if they are older than some specified time or offset. But what if we are keeping data in the log for a longer period of time, say for Event Sourcing use cases or as a source of truth? For this you can make use of Compacted Topics, which allow messages to be explicitly deleted or replaced by key.

Having backed down, May was then peremptorily informed that she was not even allowed to back down. She left her lunch with the president of the European Commission, Jean-Claude Juncker, to take a phone call from the DUP’s Arlene Foster, who told her that the deal she had just made was unacceptable. May then had to go back in and tell Juncker that she could not agree to what she had just agreed to. It is a scarcely credible position for a once great state to find itself in: its leader does not even have the power to conduct a dignified retreat.

Using this setup on AWS Batch, we are able to generate more than 3.75 million tiles per minute and render the entire world in less than a week! These pre-rendered tiles get stored in S3 and are ready to use by anyone through the AWS Public Dataset or through Mapzen’s Terrain Tiles API.

Quite unusual to see an honest review of travelling coach-class on an internal US flight. This is a massive stinker:

“I admit American isn’t my favourite airline, but this has made me seriously re-evaluate ever travelling on them again. And it won’t be economy. If this is Americans idea of their future standards, they can keep it. Aviation enthusiasts might find it really interesting- I felt like I was in a flying prison”.

The European Parliament has approved budget to improve the EU’s IT infrastructure by extending the free software security audit programme (FOSSA) and by including a bug bounty approach in the programme.

The Commission intends to conduct a small-scale "bug bounty" activity on open-source software with companies already operating in the market. The scope of this action is to:

Run a small-scale "bug bounty" activity for open source software project or library for a period of up to two months maximum;
The purpose of the procedure is to provide the European institutions with open source software projects or libraries that have been properly screened for potential vulnerabilities;
The process must be fully open to all potential bug hunters, while staying in-line with the existing Terms of Service of the bug bounty platform.

Swathes of the British elite appeared ignorant of much of Irish history and the country’s present reality. They seemed to have missed that Ireland’s economic dependence on exports to its neighbour came speedily to an end after both joined the European Economic Community in 1973. They seemed unacquainted with Ireland’s modern reality as a confident, wealthy, and internationally-oriented nation with overwhelming popular support for EU membership. Repeated descriptions of the border as a “surprise” obstacle to talks betrayed that Britain had apparently not listened, or had dismissed, the Irish government’s insistence in tandem with the rest of the EU since April that no Brexit deal could be agreed that would harden the border between Ireland and Northern Ireland.
The British government failed to listen to Ireland throughout history, and it was failing to listen still.

'One of the strangest of these monuments consists of the body of an atrophied White Sturgeon and a handwritten account of its journey. The fish had arrived in 1992 at McMurdo Station (a US base located at the edge of Antarctica and the Ross Sea) and had been destined for a remote Russian station called Vostok. However, the Russians gifted the sturgeon to American scientists who later discarded it after it had languished uneaten in a freezer for several months. It was from the trash dump that a garbage processing crew reclaimed the sturgeon, and it then made its way from location to location across Antarctica. It finally became enshrined in the tunnels beneath the South Pole where it greets visitors from a ledge chiseled in the ice.'

His last day at Twitter was mostly uneventful, he says. There were many goodbyes, and he worked up until the last hour before his computer access was to be shut off. Near the end of his shift, the fateful alert came in. This is where Trump’s behavior intersects with Duysak’s work life. Someone reported Trump’s account on Duysak’s last day; as a final, throwaway gesture, he put the wheels in motion to deactivate it. Then he closed his computer and left the building.

'So the lab turned to TrueAllele, a program sold by Cybergenetics, a small company dedicated to helping law enforcement analyze DNA where regular lab tests fail. They do it with something called probabilistic genotyping, which uses complex mathematical formulas to examine the statistical likelihood that a certain genotype comes from one individual over another. It’s a type of DNA testing that’s becoming increasingly popular in courtrooms. '

[...] 'But now legal experts, along with Johnson’s advocates, are joining forces to argue to a California court that TrueAllele—the seemingly magic software that helped law enforcement analyze the evidence that tied Johnson to the crimes—should be forced to reveal the code that sent Johnson to prison. This code, they say, is necessary in order to properly evaluate the technology. In fact, they say, justice from an unknown algorithm is no justice at all.'

Jason Scott on Twitter: "In "oh, that's a thing now" news, a colleague of mine thought it odd that there was a single "motion detector" in his AirBNB in the bedroom and voila, it's an IP camera connected to the web. (He left at 3am, reported, host is suspended, colleague got refund.)"

/tanˈspleɪn/ - verb informal - (of a British journalist or political type) explaining Irish history and politics to an Irish person, in a manner regarded as condescending, patronizing, and often incorrect.

This thread has pointed out the unintentional side effect which I hadn't considered: this database of user auth info and their porn habits will be an incredibly valuable target for foreign governments and hackers, and a single foreign porn company owns the AV service they are potentially planning to use for it.

"if they can't find a way to de-link identities from usage, this is a monumental national security risk and it's beyond insane they're even considering it. "Sorry Prime Minister, Russia now knows what porn every MP, civil servant and clearance holder watches and when, and we don't know how much of it they've given to Wikileaks. In retrospect, having the world's most obvious SIGINT target built in PHP and hosted in the Cayman Islands by an uncleared foreign 25 year old working for a porn company probably wasn't the best idea".'

it’s 2017, and spam has clawed itself back from the grave. It shows up on social media and dating sites as bots hoping to lure you into downloading malware or clicking an affiliate link. It creeps onto your phone as text messages and robocalls that ring you five times a day about luxury cruises and fictitious tax bills. Networks associated with the buzzy new cryptocurrency system Ethereum have been plagued with spam. Facebook recently fought a six-month battle against a spam operation that was administering fake accounts in Bangladesh, Indonesia, Saudi Arabia, and other countries. Last year, a Chicago resident sued the Trump campaign for allegedly sending unsolicited text message spam; this past November, ZDNet reported that voters were being inundated with political text messages they never signed up for. Apps can be horrid spam vectors, too — TechCrunch writer Jordan Crook wrote in April about how she idly downloaded an app called Gather that promptly spammed everyone in her contact list. Repeated mass data breaches that include contact information, such as the Yahoo breach in which 3 billion user accounts were exposed, surely haven’t helped. Meanwhile, you, me, and everyone we know is being plagued by robocalls. “There is no recourse for me,” lamented Troy Doliner, a student in Boston who gets robocalls every day. “I am harassed by a faceless entity that I cannot track down.”
“I think we had a really unique set of circumstances that created this temporary window where spam was in remission,” said Finn Brunton, an assistant professor at NYU who wrote Spam: A Shadow History of the Internet, “and now we’re on the other side of that, with no end in sight.”

Hughes’s team found that fungal cells infiltrate the ant’s entire body, including its head, but they leave its brain untouched. There are other parasites that manipulate their hosts without destroying their brains, says Kelly Weinersmith from Rice University. For example, one flatworm forms a carpet-like layer over the brain of the California killifish, leaving the brain intact while forcing the fish to behave erratically and draw the attention of birds—the flatworm’s next host. “But manipulation of ants by Ophiocordyceps is so exquisitely precise that it is perhaps surprising that the fungus doesn't invade the brain of its host,” Weinersmith says. [....]

So what we have here is a hostile takeover of a uniquely malevolent kind. Enemy forces invading a host’s body and using that body like a walkie-talkie to communicate with each other and influence the brain from afar. Hughes thinks the fungus might also exert more direct control over the ant’s muscles, literally controlling them “as a puppeteer controls as a marionette doll.” Once an infection is underway, he says, the neurons in the ant’s body—the ones that give its brain control over its muscles—start to die. Hughes suspects that the fungus takes over. It effectively cuts the ant’s limbs off from its brain and inserts itself in place, releasing chemicals that force the muscles there to contract. If this is right, then the ant ends its life as a prisoner in its own body. Its brain is still in the driver’s seat, but the fungus has the wheel.

ICE wants to use machine learning technology and social media monitoring to determine whether an individual is a “positively contributing member of society,” according to documents published on federal contracting websites. More than 50 civil society groups and more than 50 technical experts sent separate letters on Thursday to the Department of Homeland Security saying the vetting program as described was “tailor-made for discrimination” and contending artificial intelligence was unable to provide the information ICE desired.

Security: Quad9 blocks against known malicious domains, preventing your computers and IoT devices from connecting malware or phishing sites. Whenever a Quad9 user clicks on a website link or types in an address into a web browser, Quad9 will check the site against the IBM X-Force threat intelligence database of over 40 billion analyzed web pages and images. Quad9 also taps feeds from 18 additional threat intelligence partners to block a large portion of the threats that present risk to end users and businesses alike.

Performance: Quad9 systems are distributed worldwide in more than 70 locations at launch, with more than 160 locations in total on schedule for 2018. These servers are located primarily at Internet Exchange points, meaning that the distance and time required to get answers is lower than almost any other solution. These systems are distributed worldwide, not just in high-population areas, meaning users in less well-served areas can see significant improvements in speed on DNS lookups. The systems are “anycast” meaning that queries will automatically be routed to the closest operational system.

Privacy: No personally-identifiable information is collected by the system. IP addresses of end users are not stored to disk or distributed outside of the equipment answering the query in the local data center. Quad9 is a nonprofit organization dedicated only to the operation of DNS services. There are no other secondary revenue streams for personally-identifiable data, and the core charter of the organization is to provide secure, fast, private DNS

To do this, they tapped a company called SafeGraph that provided them with 17 trillion location markers for 10 million smartphones.
The data wasn’t just staggering in sheer quantity. It also appears to be extremely granular. Researchers “used this data to identify individuals' home locations, which they defined as the places people were most often located between the hours of 1 and 4 a.m.,” wrote The Washington Post. [....]
This means SafeGraph is looking at an individual device and tracking where its owner is going throughout their day. A common defense from companies that creepily collect massive amounts of data is that the data is only analyzed in aggregate; for example, Google’s database BigQuery, which allows organizations to upload big data sets and then query them quickly, promises that all its public data sets are “fully anonymized” and “contain no personally-identifying information.” In multiple press releases from SafeGraph’s partners, the company’s location data is referred to as “anonymized,” but in this case they seem to be interpreting the concept of anonymity quite liberally given the specificity of the data.
Most people probably don’t realize that their Thanksgiving habits could end up being scrutinized by strangers.
It’s unclear if users realize that their data is being used this way, but all signs point to no. (SafeGraph and the researchers did not immediately respond to questions.) SafeGraph gets location data from “from numerous smartphone apps,” according to the researchers.

'A consortium workshop of high end techs reviewed postmortems to better understand how engineers cope with the complexity of anomalies (SNAFU and SNAFU catching episodes) and how to support them. These cases reveal common themes regarding factors that produce resilient performances. The themes that emerge also highlight opportunities to move forward.'

If Facebook wanted to implement a truly trusted system for revenge porn victims, they could put the photo hashing on the user side of things -- so only the hash is transferred to Facebook. To verify the claim that the image is truly a revenge porn issue, the victim could have the images verified through a trusted revenge porn advocacy organization. Theoretically, the victim then would have a verified, privacy-safe version of the photo, and a hash that could be also sent to Google and other sites.

Like any functioning autonomous vehicle, the shuttle can avoid obstacles and stop in a hurry if needed. What it apparently can’t do is move a couple feet out of the way when it looks like a 20-ton truck is going to back into it.

A passenger interviewed by KSNV shared her frustration:

The shuttle just stayed still and we were like, ‘oh my gosh, it’s gonna hit us, it’s gonna hit us!’ and then.. it hit us! And the shuttle didn’t have the ability to move back, either. Like, the shuttle just stayed still.

But that isn’t to say work-life balance isn’t important. It’s just job seekers are looking for balance outside of work. Three of the five benefits that sped up time to hire were related to giving more opportunities to leave work:

Caregiver leave
Adoption leave
On site gym
Performance based incentives
Family leave

In short, I am in support of Naomi Wu. Rather than let the Internet speculate on why, I am sharing my perspectives on the situation preemptively.

As with most Internet controversies, it’s messy and emotional. I will try my best to outline the biases and issues I have observed. Of course, everyone has their perspective; you don’t have to agree with mine. And I suspect many of my core audience will dislike and disagree with this post. However, the beginning of healing starts with sharing and listening. I will share, and I respectfully request that readers read the entire content of this post before attacking any individual point out of context.

The key forces I see at play are:

Prototype Bias – how assumptions based on stereotypes influence the way we think and feel
Idol Effect – the tendency to assign exaggerated capabilities and inflated expectations upon celebrities
Power Asymmetry – those with more power have more influence, and should be held to a higher standard of accountability
Guanxi Bias – the tendency to give foreign faces more credibility than local faces in China

Facebook’s machinery operates on a scale far beyond normal human interactions. And the results of its People You May Know algorithm are anything but obvious. In the months I’ve been writing about PYMK, as Facebook calls it, I’ve heard more than a hundred bewildering anecdotes:

A man who years ago donated sperm to a couple, secretly, so they could have a child—only to have Facebook recommend the child as a person he should know. He still knows the couple but is not friends with them on Facebook.
A social worker whose client called her by her nickname on their second visit, because she’d shown up in his People You May Know, despite their not having exchanged contact information.
A woman whose father left her family when she was six years old—and saw his then-mistress suggested to her as a Facebook friend 40 years later.
An attorney who wrote: “I deleted Facebook after it recommended as PYMK a man who was defense counsel on one of my cases. We had only communicated through my work email, which is not connected to my Facebook, which convinced me Facebook was scanning my work email.”

The newly deployed contract, 0x863df6bfa4469f3ead0be8f9f2aae51c91a907b4, contains a vulnerability where its owner was uninitialized. Although, the contract is a library it was possible for devops199 to turn it into a regular multi-sig wallet since for Ethereum there is no real distinction between accounts, libraries, and contracts.
The event occurred in two transactions, a first one to take over the library and a second one to kill the library — which was used by all multi-sig wallets created after the 20th of July.

Since by design smart-contracts themselves can’t be patched easily, this make dependancies on third party libraries very lethal if a mistake happens. The fact that libraries are global is also arguable, this would be shocking if it was how our daily use Operating Systems would work.

That doesn't mean Polvi is a fan. "Lambda and serverless is one of the worst forms of proprietary lock-in that we've ever seen in the history of humanity," said Polvi, only partly in jest, referring to the most widely used serverless offering, AWS Lambda. "It's seriously as bad as it gets."

He elaborated: "It's code that tied not just to hardware – which we've seen before – but to a data center, you can't even get the hardware yourself. And that hardware is now custom fabbed for the cloud providers with dark fiber that runs all around the world, just for them. So literally the application you write will never get the performance or responsiveness or the ability to be ported somewhere else without having the deployment footprint of Amazon."

'an essay on YouTube, children's videos, automation, abuse, and violence, which crystallises a lot of my current feelings about the internet through a particularly unpleasant example from it. [...]

What we’re talking about is very young children [..] being deliberately targeted with content which will traumatise and disturb them, via networks which are extremely vulnerable to exactly this form of abuse. It’s not about trolls, but about a kind of violence inherent in the combination of digital systems and capitalist incentives. It’s down to that level of the metal.'

I am 100% behind this. There's so much potential for hidden bias and unethical discrimination in careless AI/ML deployment.

While AI holds significant promise, we’re seeing significant challenges in the rapid push to integrate these systems into high stakes domains. In criminal justice, a team at Propublica, and multiple academics since, have investigated how an algorithm used by courts and law enforcement to predict recidivism in criminal defendants may be introducing significant bias against African Americans. In a healthcare setting, a study at the University of Pittsburgh Medical Center observed that an AI system used to triage pneumonia patients was missing a major risk factor for severe complications. In the education field, teachers in Texas successfully sued their school district for evaluating them based on a ‘black box’ algorithm, which was exposed to be deeply flawed.

This handful of examples is just the start — there’s much more we do not yet know. Part of the challenge is that the industry currently lacks standardized methods for testing and auditing AI systems to ensure they are safe and not amplifying bias. Yet early-stage AI systems are being introduced simultaneously across multiple areas, including healthcare, finance, law, education, and the workplace. These systems are increasingly being used to predict everything from our taste in music, to our likelihood of experiencing mental illness, to our fitness for a job or a loan.

Simon McGarr: "If you think that a public affairs show has failed to address a matter with proper balance, you can (Tweet) say it to the breeze or complain.
There is a process to follow to make an effective complaint
1) complain to broadcaster
2) complain to BAI if unhappy with response."

Services communicate to each other through an HAproxy instance on each host that is itself managed and configured by Sidecar. It is inspired by Airbnb's SmartStack. But, we believe it has a few advantages over SmartStack:

Native support for Docker (works without Docker, too!);
No dependence on Zookeeper or other centralized services;
Peer-to-peer, so it works on your laptop or on a large cluster;
Static binary means it's easy to deploy, and there is no interpreter needed;
Tiny memory usage (under 20MB) and few execution threads means its very light weight

The debate appears to be between some of Unicode’s most prolific contributors and typographers (Unicode was initially established to develop standards for translating alphabets into code that can be read across all computers and operating systems), and those in the consortium who focus primarily on the evolution of emojis. The two chief critics — Michael Everson and Andrew West, both typographers — say that the emoji proposal process has become too commercial and frivolous, thereby cheapening the Unicode Consortium’s long body of work.

Their argument centers around “Frowning Pile Of Poo,” one of the emojis under consideration for the June 2018 class. In an Oct. 22 memo to the Unicode Technical Committee, Everson tore into the committee over the submission calling it “damaging ... to the Unicode standard.”

The strategy to rescue the Guardian from financial oblivion has attained a landmark position by increasing its revenue from readers to a point where it now outweighs the paper’s income from advertising.
This significant shift in the Guardian’s business model, making it less dependent on a highly challenging advertising market for media companies, results largely from a quadrupling in the number of readers making monthly payments under the title’s membership scheme, which has grown from 75,000 to 300,000 members in the past year.

57.10 Acceptable Use; Safety-Critical Systems. Your use of the Lumberyard Materials must comply with the AWS Acceptable Use Policy. The Lumberyard Materials are not intended for use with life-critical or safety-critical systems, such as use in operation of medical equipment, automated transportation systems, autonomous vehicles, aircraft or air traffic control, nuclear facilities, manned spacecraft, or military use in connection with live combat. However, this restriction will not apply in the event of the occurrence (certified by the United States Centers for Disease Control or successor body) of a widespread viral infection transmitted via bites or contact with bodily fluids that causes human corpses to reanimate and seek to consume living human flesh, blood, brain or nerve tissue and is likely to result in the fall of organized civilization.

'A vault for securely storing and accessing AWS credentials in development environments'.

Scott Piper says: 'You should not use the AWS CLI with MFA without aws-vault, and probably should not use the CLI at all without aws-vault, because of it's benefit of storing your keys outside of ~/.aws/credentials (since every once in a while a developer will decide to upload all their dot-files in their home directory to github so they can use the same .vimrc and .bashrc aliases everywhere, and will end up uploading their AWS creds).'

how did you solve this problem at Something Awful? You said you wrote a bunch of rules but internet pedants will always find ways to get around them.

The last rule says we can ban you for any reason. It's like the catch-all. We can ban you if it's too hot in the room, we can ban you if we had a bad day, we can ban you if our finger slips and hits the ban button. And that way people know that if they're doing something and it's not technically breaking any rules but they're obviously trying to push shit as far as they can, we can still ban them. But, unlike Twitter, we actually have what's called the Leper's Colony, which says what they did and has their track record. Twitter just says, “You're gone.”

Here is a 3D-printed turtle that is classified at every viewpoint as a “rifle” by Google’s InceptionV3 image classifier, whereas the unperturbed turtle is consistently classified as “turtle”.

We do this using a new algorithm for reliably producing adversarial examples that cause targeted misclassification under transformations like blur, rotation, zoom, or translation, and we use it to generate both 2D printouts and 3D models that fool a standard neural network at any angle. Our process works for arbitrary 3D models - not just turtles! We also made a baseball that classifies as an espresso at every angle! The examples still fool the neural network when we put them in front of semantically relevant backgrounds; for example, you’d never see a rifle underwater, or an espresso in a baseball mitt.

Bookmarking -- just in case. hopefully it won't be necessary... good site for parenting advice along these lines.

I knew this day would come. I was, of course, hoping it never would-hoping that my daughter would never be mean to someone else's daughter-but as they say, I wrote the book on girl bullying in elementary school, so I knew that there was a pretty good chance that despite all of my best efforts, one of these days, my girl was gonna act like the mean one. This morning, she told me about it.

Solera is a process for aging liquids such as wine, beer, vinegar, and brandy, by fractional blending in such a way that the finished product is a mixture of ages, with the average age gradually increasing as the process continues over many years. The purpose of this labor-intensive process is the maintenance of a reliable style and quality of the beverage over time. Solera means literally "on the ground" in Spanish, and it refers to the lower level of the set of barrels or other containers used in the process; the liquid (traditionally transferred from barrel to barrel, top to bottom, the oldest mixtures being in the barrel right "on the ground"), although the containers in today's process are not necessarily stacked physically in the way that this implies, but merely carefully labeled. Products which are often solera aged include Sherry, Madeira, Lillet, Port wine, Marsala, Mavrodafni, Muscat, and Muscadelle wines; Balsamic, Commandaria, some Vins doux naturels, and Sherry vinegars; Brandy de Jerez; beer; rums; and whiskies. Since the origin of this process is undoubtedly out of the Iberian peninsula, most of the traditional terminology was in Spanish, Portuguese, or Catalan.

At Facebook we have been working on automated reasoning about concurrency in our work with the Infer static analyzer. RacerD, our new open source race detector, searches for data races — unsynchronized memory accesses, where one is a write — in Java programs, and it does this without running the program it is analyzing. RacerD employs symbolic reasoning to cover many paths through an app, quickly.

You're stopped at a red light with a bunch of folks on bikes, when someone who's just arrived sails past everyone, right to the head of the class. It's a lot like seeing somebody in the Whole Foods express lane with too many things. In other words, it's the kind of behavior that triggers toothy-toddler rages in otherwise emotionally competent adults.

Despite the "Bully-Free Zone" posters that line the school cafeteria walls and the Zero-Tolerance policy that was boasted about during last September's Back-to-School night, your experience is that the school would rather not address the problem at all. The responses you get from your child's teacher include bland lip service [...]

Good advice for this nasty situation -- I'm thankfully not facing it myself, but bookmarking just in case...

I want to talk about why this vulnerability continues to exist so many years after WPA was standardized. And separately, to answer a question: how did this attack slip through, despite the fact that the 802.11i handshake was formally proven secure?

Twitter, which was conceived and built by a room of privileged white boys (some of them my friends!), never considered the possibility that they were building a bomb. To this day, Jack Dorsey doesn’t realize the size of the bomb he’s sitting on. Or if he does, he believes it’s metaphorical. It’s not. He is utterly unprepared for the burden he’s found himself responsible for.
The power of Oppenheimer-wide destruction is in the hands of entitled men-children, cuddled runts, who aim not to enhance human communication, but to build themselves a digital substitute for physical contact with members of the species who were unlike them. And it should scare you.